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Chechen-Aul
City in Chechen, Russia
Overview
Chechen-Aul is a small town in the Chechen Republic, Russia, known for its strong sense of community and scenic natural setting along the Sunzha River. Visitors will find modest but authentic local markets, traditional eateries, and historic religious sites. The pace of life is tranquil, and the town offers a look into Chechen rural culture.
Geographic Context
Jurisdiction
Russia
Republic
Chechen
Population
9,208
Time Zone
Europe/Moscow
Coordinates
43.20°, 45.79°
Key Metrics
Safety Score · estimate
35
Female Safety
25
LGBTQ+ Safety
10
Traffic Safety
40
Food Safety
50
Monthly Cost · estimate
$775
Local Cost
$372
Local Income
$250
Cashless
25
English
15
Temperature
9.8°C
Summer Avg
20.6°C
Winter Avg
-0.7°C
Record High
39.0°C
Record Low
-24.2°C
Humidity
70%
Precipitation
645 mm
Internet Speed
29 Mbps
Upload
37 Mbps
Latency
5 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
GRV
Distance
22 km
Explore
Data sources
Source-backed data
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-07.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-06.
Estimates and unverified origins
Oyster List climate data - Climate origins are unverified. Available methods include historical APIs and AI estimates; stored rows do not identify the original dataset, reference period, or model for each value. Treat these summaries as estimates until independently verified. Record updated 2026-03-22.
Oyster List city price estimates - Price origins are unverified. Available generation methods include AI estimates; stored records do not identify a survey, observation period, or model for each price. Record updated 2026-01-14.
Oyster List AI-assisted estimates - Safety, lifestyle, income, and practical scores include model-assisted estimates. Stored records do not identify supporting observations for each score. Model-reported confidence: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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